Results 21 to 30 of about 362,159 (292)
Neuromorphic Eye-in-Hand Visual Servoing
Robotic vision plays a major role in factory automation to service robot applications. However, the traditional use of frame-based cameras sets a limitation on continuous visual feedback due to their low sampling rate, poor performance in low light ...
Rajkumar Muthusamy +6 more
doaj +1 more source
Event-Based Feature Extraction Using Adaptive Selection Thresholds
Unsupervised feature extraction algorithms form one of the most important building blocks in machine learning systems. These algorithms are often adapted to the event-based domain to perform online learning in neuromorphic hardware. However, not designed
Saeed Afshar +5 more
doaj +1 more source
Vision-based tactile sensors (VBTSs) have become the de facto method for giving robots the ability to obtain tactile feedback from their environment.
Hussain Sajwani +6 more
doaj +1 more source
A Spike-Based Neuromorphic Architecture of Stereo Vision
The problem of finding stereo correspondences in binocular vision is solved effortlessly in nature and yet it is still a critical bottleneck for artificial machine vision systems.
Nicoletta Risi +4 more
doaj +1 more source
Event Density Based Denoising Method for Dynamic Vision Sensor
Dynamic vision sensor (DVS) is a new type of image sensor, which has application prospects in the fields of automobiles and robots. Dynamic vision sensors are very different from traditional image sensors in terms of pixel principle and output data ...
Yang Feng +5 more
doaj +1 more source
Event-Based Angular Speed Measurement and Movement Monitoring
Computer vision techniques can monitor the rotational speed of rotating equipment or machines to understand their working conditions and prevent failures.
George Oliveira de Araújo Azevedo +5 more
doaj +1 more source
Neural Coding Strategies for Event-Based Vision Data [PDF]
Neural coding schemes are powerful tools used within neuroscience. This paper introduces three different neural coding scheme formations for event-based vision data which are designed to emulate the neural behaviour exhibited by neurons under stimuli. Presented are phase-of-firing and two sparse neural coding schemes.
Shane Harrigan +5 more
openaire +1 more source
Auto-Tuned Event-Based Perception Scheme for Intrusion Monitoring With UAS
This paper presents an asynchronous event-based scheme for automatic intrusion monitoring using Unmanned Aerial Systems (UAS). Event cameras are neuromorphic sensors that capture the illumination changes in the camera pixels with high temporal resolution
Juan Pablo Rodriguez-Gomez +3 more
doaj +1 more source
An important aspect of the perception system for intelligent vehicles is the detection and signal measurement of vehicle taillights. In this work, we present a novel vision-based measurement (VBM) system, using an event-based neuromorphic vision sensor ...
Zhengfa Liu +5 more
doaj +1 more source
Event Augmentation for Contact Force Measurements
Neuromorphic vision sensor is an attractive technology that offers high dynamic range, and low latency which are crucial in robotic applications. However, the lack of event-based data in this field, limits the sensors’ performance in a real-world ...
Fariborz Baghaei Naeini +3 more
doaj +1 more source

